Shelter-in-place policies reduce social contact and mitigate the spread of Covid-19. Inconsistent compliance with social distancing creates local and regional interpersonal transmission risks. Using county-day measures on population movement derived from cell phone location data, we investigate whether compliance with local shelter-in-place ordinances varies across US counties differentially exposed to the recent trade war. In communities more exposed to retaliatory tariffs, compliance is significantly lower. Measures of local income and partisanship are also strongly predictive of compliance. Findings suggest targeted economic relief and non-partisan messaging could improve future compliance.
Lead investigator: |
Austin L. Wright |
Affiliation: |
University of Chicago |
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Unit of real-time data collection |
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Start date |
2/2020 |
End date |
4/2020 |
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